\section*{Conclusion}
\addcontentsline{toc}{section}{Conclusion}

To conclude this project was a good introduction to artificial neural network. We discovered how parameters are important. For example, we could think that the higger the learning rate is, the more efficient would be the network. The set of tests reveals that this is not the case, and that learning rate must be wisely used. This reflexion can be applied to all others parameters, as number of hidden layers, or more generally, number of neurons. 	To summarize there is no formal way to set parameters, and execution observation remains the best solution to determine the optimal ones.